
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "101"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 88 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 84 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.181393	-0.883276	0.528182	-0.014177	0.226642	-0.239224	0.237859	-0.999800	0.7818	0.7996	0.2572	10.820748	10.184833
2459593	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	269.873420	272.857814	inf	inf	38.717779	79.396387	150.690988	488.588888	nan	nan	nan	0.000000	0.000000
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.279281	-1.121517	2.539268	1.193435	0.278198	-0.042756	2.081340	0.054609	0.0391	0.0328	0.0021	nan	nan
2459591	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.450570	-0.248300	1.056299	-0.236556	-0.042482	-0.395818	0.983940	-0.628792	0.6697	0.6869	0.3736	4.441318	4.470579
2459590	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.450945	-0.221378	0.376870	-0.381414	-0.831652	-0.670494	1.001174	0.654500	0.6752	0.6890	0.3653	5.344324	5.674911
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.108297	-0.517966	-0.318316	-0.428717	-0.898775	-0.671494	-0.426692	-1.069069	0.7111	0.7128	0.2893	5.491836	5.071066
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.032848	-0.770001	1.230190	-1.100192	-0.625758	0.068557	-0.396079	-0.970387	0.7706	0.7619	0.2322	8.205343	6.676642
2459587	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.759335	-0.113407	2.566264	-0.048310	-0.877392	-0.943373	0.764819	-0.518867	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.909789	-0.433242	1.239830	0.245421	0.904878	-1.241245	-0.189429	-0.040429	0.6536	0.6730	0.3673	3.839412	3.711766
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.360635	-0.943263	2.371676	0.255361	1.373492	-0.588681	14.887907	-0.184741	0.0333	0.0325	0.0014	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	18.056331	18.272261	1.882509	1.482612	2.906537	2.439597	0.375770	0.081168	0.6725	0.6872	0.3831	0.000000	0.000000
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.666509	0.180650	-0.696849	-0.885475	-0.524052	0.195025	-0.144538	-0.391744	0.6706	0.6834	0.3872	0.000000	0.000000
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.540469	0.126489	-0.382518	-0.725068	-0.662121	-0.657237	1.066522	-0.756189	0.6741	0.6859	0.3882	3.445223	3.366528
2459581	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.347334	0.040675	-0.965771	-0.792143	-0.672991	-0.276287	0.970219	-0.656784	0.6808	0.6936	0.3815	3.631764	3.277445
2459580	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.381520	-0.077972	-0.422733	-0.762818	-0.045051	-0.191115	0.070980	-0.525817	0.6756	0.6899	0.3818	0.000000	0.000000
2459579	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.874235	0.386688	-0.346257	-0.702582	-0.316773	-0.098260	2.154796	-0.190062	0.6695	0.6855	0.3879	5.500144	5.323740
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.281017	-0.062400	-0.925349	-0.792073	-0.779722	-0.236788	0.800733	-0.592079	0.6770	0.6927	0.3808	3.129186	2.954228
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.201645	0.079018	-0.582408	-0.731175	-0.945559	-0.176836	1.576735	-0.216398	0.6990	0.7138	0.3821	5.392178	4.910569
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.053198	-0.479145	-0.852867	-0.835232	-1.501901	0.254474	-0.835979	-0.854464	0.7569	0.7618	0.3283	5.409226	4.966542
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459573	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.710349	-0.071510	-0.460921	-0.819256	-1.131049	-0.079842	1.875668	-0.584399	0.6884	0.7005	0.3845	4.949026	4.253247
2459572	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.544723	-0.222508	-0.760820	-0.798683	-0.959602	-0.107743	2.863286	-0.686851	0.6987	0.7115	0.3764	3.998167	3.564043
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.964379	-0.745924	0.950320	1.151494	0.539271	0.850544	10.355577	-0.488840	0.0529	0.0419	0.0074	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.220641	0.217378	0.221417	0.028659	0.487348	0.687920	0.463183	0.443809	0.6911	0.7123	0.3494	0.000000	0.000000
2459569	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.081833	-0.164467	-0.834758	-0.865044	-1.278830	-0.741324	-0.860239	-0.944729	0.7683	0.7765	0.2333	4.274941	3.809765
2459566	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.141946	0.300994	-0.812843	-0.717564	-1.069693	-0.941411	2.212117	0.112435	0.6801	0.6957	0.4036	3.484641	3.434393
2459565	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.645736	-0.050602	-0.665236	-0.937896	-0.559848	0.192366	1.613457	-0.080085	0.7023	0.7109	0.3904	2.849899	2.823311
2459563	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.186409	0.145678	-0.541381	-0.479303	-0.136235	0.147740	2.398258	-0.626364	0.6992	0.7089	0.3864	4.187993	3.752612
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.761956	-0.349007	-0.288961	-0.341178	-0.033817	0.752520	1.203877	-0.238174	0.6973	0.7128	0.3878	3.081992	2.829647
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.669936	-0.249381	-0.513486	-0.449678	-0.447104	0.868452	0.848533	-0.576960	0.7057	0.7205	0.3809	2.865728	2.684786
2459560	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.735040	-0.302820	-0.274693	-0.466380	-0.120010	0.883885	1.481357	-0.533243	0.6958	0.7087	0.3951	3.312678	2.986345
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.698417	-0.354347	-0.335526	-0.588429	-0.469274	0.647233	1.062322	-0.398132	0.6961	0.7106	0.3817	2.831474	2.642946
2459558	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.166920	0.212073	-0.353789	-0.710127	-0.649299	0.735901	0.375440	-0.711664	0.6967	0.7081	0.3901	3.917452	3.547648
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0318	0.0298	0.0010	nan	nan
2459556	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.093733	-0.007375	-0.587095	-0.811400	-0.958992	-0.001020	3.611137	-1.149749	0.6968	0.7107	0.3847	3.826043	3.314774
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7021	0.7144	0.3942	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6985	0.7119	0.3927	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.129461	-0.446756	-0.714176	0.264203	-0.744836	-1.272197	4.366899	-0.714708	0.7067	0.7137	0.3824	10.763570	9.116869
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.447566	-0.126127	-0.401085	-0.637315	-0.443322	0.258542	0.979644	-0.435693	0.7009	0.7125	0.3787	2.749293	2.661779
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0415	0.0399	0.0014	nan	nan
2459549	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.171058	-0.249275	-0.799188	-0.628461	-1.033824	0.054790	1.544237	-0.674244	0.6953	0.7104	0.3952	3.436992	3.229587
2459542	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.139593	0.545419	-1.006807	-0.245443	-0.478985	-0.314780	1.352322	-0.704471	0.7513	0.7617	0.3494	3.199552	2.896507
2459541	RF_maintenance	0.00%	1.34%	1.79%	0.00%	100.00%	0.00%	-0.349598	-0.175728	-0.619248	-0.420548	-0.629790	-1.249178	-0.369175	-0.949476	0.7423	0.7479	0.3309	4.941516	4.536441
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.243166	0.063384	-0.716760	-0.343153	-0.368152	-0.701946	1.348354	-0.233946	0.7552	0.7585	0.3366	3.092415	2.754325
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.537210	-0.572193	-0.927427	0.071578	-0.407818	-0.622879	5.554041	-0.685027	0.7248	0.7318	0.4171	4.675937	4.196280
2459535	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.280911	-0.132162	-0.507191	-0.317273	-0.168220	-1.040867	2.105393	0.398866	0.7912	0.7806	0.3491	3.214548	2.920320
2459534	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.393329	-0.070582	-0.509243	-0.270872	0.482052	-0.493847	1.663218	0.419277	0.7801	0.7700	0.3407	6.176977	6.116985
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.235412	-0.537403	-0.136080	-0.793760	-0.856362	0.412941	5.168585	-0.565115	0.7228	0.7324	0.3913	3.676905	3.117282
2459532	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.001941	-0.367364	-0.129689	-0.898401	-1.055595	-0.044125	1.580338	-0.818494	0.7262	0.7324	0.3869	4.381799	3.800119
2459530	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.711345	-0.472077	-0.446890	-0.334933	-0.260851	0.790582	1.921176	-0.329299	0.7287	0.7382	0.3985	3.271548	3.128205
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.680900	-0.242591	-0.353010	-0.857966	-0.985853	-0.431566	2.543498	2.003550	0.9143	0.9424	0.2805	0.000000	0.000000
2459523	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.408846	-0.814769	-0.977144	-0.736036	-0.351396	-1.009720	2.458604	-0.736899	nan	nan	nan	6.062305	5.094615
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.137044	-0.014579	-0.376850	-0.577909	0.648753	0.053580	4.622538	1.456052	0.6758	0.7357	0.3448	4.982176	5.195731
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.866759	-0.757126	0.707198	0.597558	0.248626	-0.225243	7.695620	0.274999	0.0768	0.0641	0.0154	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.522789	-0.462915	-0.373446	-0.966152	-1.026697	-0.145756	-0.621949	-0.658607	0.9238	0.9584	0.1541	0.000000	0.000000
2459505	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.251538	-0.401683	-0.356685	-0.853479	-0.498463	-0.800064	3.724061	0.911665	0.8892	0.8693	0.2004	18.591561	16.663968
2459503	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.059262	-0.564604	-0.306998	-0.539393	-0.328574	0.372483	1.270782	-0.684627	0.8816	0.8770	0.4104	0.000000	0.000000
2459501	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.726449	-0.675688	0.470641	-0.696739	-0.742017	0.467726	0.872186	-1.051318	0.8732	0.9035	0.3433	0.000000	0.000000
2459500	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.569744	-1.065553	0.107695	-1.328102	0.144944	-0.932826	0.391522	-0.946888	0.8771	0.8992	0.3381	0.000000	0.000000
2459499	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.315756	-0.901241	-0.019708	-1.325523	0.017043	-0.709539	1.652480	-0.136216	0.8903	0.9495	0.1598	0.000000	0.000000
2459498	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.360977	-0.667650	0.148534	-0.791662	-0.109850	-0.632515	1.742784	-0.651004	0.8875	0.9015	0.3605	0.000000	0.000000
2459497	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.639440	-0.790990	0.249488	-0.579022	-0.164276	-0.569135	0.649142	1.028575	0.9162	0.9415	0.2810	0.000000	0.000000
2459496	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.005379	-0.340122	-0.017380	-0.870484	-0.532326	-1.051336	0.318748	-0.457672	0.8620	0.8895	0.3811	0.000000	0.000000
2459495	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.256253	-0.928267	-0.244411	-0.768706	-0.504575	-0.738556	0.355712	-0.310024	0.8555	0.8830	0.4280	0.000000	0.000000
2459494	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.013280	-0.480229	0.095836	-1.068603	-0.166587	-0.634765	1.187305	-0.290936	0.8480	0.8745	0.4456	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.960055	-0.108787	-0.351804	-0.156460	-0.546411	-0.998986	7.686046	-0.853356	0.7339	0.7950	0.3292	0.000000	0.000000
2459491	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.752526	-0.098028	-0.601322	-0.112156	-1.078580	-0.164959	0.431398	-1.317614	0.7728	0.8098	0.2714	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.791272	-0.600069	-1.144353	0.314125	-0.870827	-0.562783	7.870014	-0.364265	0.7488	0.8022	0.3485	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.634058	0.096295	-0.859833	-0.229477	-0.337344	0.504035	9.633191	-0.636779	0.7652	0.8089	0.3027	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.791933	0.453560	-0.719457	-0.081367	-1.188134	0.386158	6.264837	-0.682829	0.7664	0.8113	0.3321	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 101 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 101, Node 8:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 101: 2459612

Antenna 101: 2459611

Antenna 101: 2459610

Antenna 101: 2459609

Antenna 101: 2459608

Antenna 101: 2459607

Antenna 101: 2459605

Antenna 101: 2459604

Antenna 101: 2459603

Antenna 101: 2459602

Antenna 101: 2459598

Antenna 101: 2459597

Antenna 101: 2459596

Antenna 101: 2459595

Antenna 101: 2459594

Antenna 101: 2459593

Antenna 101: 2459592

Antenna 101: 2459591

Antenna 101: 2459590

Antenna 101: 2459589

Antenna 101: 2459588

Antenna 101: 2459587

Antenna 101: 2459586

Antenna 101: 2459585

Antenna 101: 2459584

Antenna 101: 2459583

Antenna 101: 2459582

Antenna 101: 2459581

Antenna 101: 2459580

Antenna 101: 2459579

Antenna 101: 2459578

Antenna 101: 2459577

Antenna 101: 2459576

Antenna 101: 2459575

Antenna 101: 2459574

Antenna 101: 2459573

Antenna 101: 2459572

Antenna 101: 2459571

Antenna 101: 2459570

Antenna 101: 2459569

Antenna 101: 2459566

Antenna 101: 2459565

Antenna 101: 2459564

Antenna 101: 2459563

Antenna 101: 2459562

Antenna 101: 2459561

Antenna 101: 2459560

Antenna 101: 2459559

Antenna 101: 2459558

Antenna 101: 2459556

Antenna 101: 2459552

Antenna 101: 2459551

Antenna 101: 2459549

Antenna 101: 2459542

Antenna 101: 2459541

Antenna 101: 2459540

Antenna 101: 2459536

Antenna 101: 2459535

Antenna 101: 2459534

Antenna 101: 2459533

Antenna 101: 2459532

Antenna 101: 2459530

Antenna 101: 2459527

Antenna 101: 2459524

Antenna 101: 2459523

Antenna 101: 2459522

Antenna 101: 2459513

Antenna 101: 2459508

Antenna 101: 2459506

Antenna 101: 2459505

Antenna 101: 2459503

Antenna 101: 2459501

Antenna 101: 2459500

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶